This study applies a distributed energy resources scheme on industrial microgrids and provides a case study that is based on the Component-oriented Modeling and Optimization for Nonlinear Design and Operation (COMANDO). The model comprises distributed energy resources commonly used by industrial enterprises (i.e., solar power, combined-heat-and-power, heat pumps), energy storage systems, and management strategies (peer-to-peer trading, bulk purchasing). To demonstrate the model, a case study is conducted for a real-world industrial area in Germany. We find that the economic impact of the various strategies is highly dependent on the specific demand curves. However, combining the DER and the stated management strategies is always profitable and leads to reductions of a global warming index used as an ecological indicator.
Keywords Industrial microgrid, Distributed energy resources, Peer-to-peer trading, Bulk purchasing, COMANDO